AI Data Analyst
Skills
About the role
Job Title: AI Data Analyst
Location: Bangalore
Department: Data & Analytics
About the role
Wildfox Business advocacy is hiring an AI Data Analyst to partner with our autonomous analytics agents and deliver insights at a pace traditional manual analysis cannot match. You will own the parts of analytics that require human judgment — question framing, metric governance, validation, and stakeholder communication — while agents handle multi-step SQL, visualization drafts, and recurring report execution.
What you'll do
Translate business questions from product, operations, and leadership into executable analytical goals
Curate metric definitions and schema documentation so agents produce consistent, auditable output
Supervise agent-executed analyses: review plans, validate queries through audit trails, approve reusable memory for recurring reports
QA AI-generated datasets and charts before they reach stakeholders
Present findings with clear data provenance; escalate data quality and access issues to data engineering
Help define team standards for agent evaluation, goal-writing, and governance
Key Responsibilities
AI & Predictive Modeling: Develop and deploy statistical/ML models for forecasting, churn prevention, and personalization.
Agentic Workflows: Review, refine, and audit plans generated by AI agents to ensure business logic is consistent and accurate.
Data Curation: Clean, consolidate, and prepare datasets sourced from cloud data warehouses (e.g., Snowflake, BigQuery).
Insight Interpretation: Ensure AI-generated outputs align with business constraints and data accuracy standards.
Reporting & Visualization: Build interactive dashboards and automate reporting processes using modern BI tools (e.g., Power BI, Tableau, Streamlit). [1, 2, 3, 4]
Required Technical Skills
Programming Languages: Advanced proficiency in Python (for ML, NLP, and data manipulation) and SQL.
AI & LLMs: Understanding of agentic AI frameworks (e.g., LangChain), RAG pipelines, and Auto ML tools.
Data Platforms: Experience with cloud databases and Big Data technologies (Databricks, PySpark, AWS, GCP).
Data Visualization: Expertise with tools like Tableau, Power BI, or Looker
Preferred Qualifications
Experience: 2-5+ years of industry experience in business intelligence, data engineering, or a related predictive analytics role.
Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or Operations Research.
If you are looking to recruit for this position or apply for a role in the Bengaluru area, understanding how local tech teams use specific frameworks is critical
Pay: ₹250,000.00 - ₹400,000.00 per year
Work Location: In person
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